Dataiku DSS Engineer

Job description • Design develop and deploy endtoend data analytics and machine learning solutions using Dataiku DSS • Build and maintain scalable data pipelines for data ingestion transformation and integration from multiple sources • Collaborate with business stakeholders to understand requirements and translate them into technical solutions • Develop optimize and automate data workflows using Dataiku visual recipes Python SQL and APIs • Implement machine learning models feature engineering model validation and deployment within Dataiku • Integrate Dataiku with cloud platforms such as Azure AWS or GCP and enterprise data ecosystems • Ensure data quality governance security and compliance across all data processes • Monitor and troubleshoot production workflows models and data pipelines to ensure reliability and performance • Work closely with Data Engineers Data Scientists and Business Analysts to deliver datadriven solutions • Create reusable components plugins and automation frameworks to improve development efficiency • Support MLOps practices including model versioning deployment monitoring and retraining • Develop dashboards reports and analytical assets to support business decisionmaking • Participate in architecture discussions and recommend best practices for Dataiku platform utilization • Mentor junior team members and contribute to technical knowledge sharing within the team • Strong expertise in Dataiku DSS Python SQL ETL Machine Learning Data Modeling Cloud Platforms AzureAWSGCP Git APIs CICD MLOps and Data Governance is required • Key Skills Dataiku DSS Python SQL Machine Learning ETL Data Engineering Data Pipelines MLOps Git REST APIs Azure AWS GCP Data Governance Data Visualization Agile Methodologies